{"id":"W7114917762","doi":"10.2139/ssrn.5907449","title":"RESEARCH NEEDS AND RESEARCH CAPACITY OF CLINICAL NURSES IN LAGOS STATE NIGERIA: A CROSS-SECTIONAL STUDY","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Conceptualization; Descriptive research; Nursing research; Research design; Needs assessment; Capacity building; State (computer science)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005397638,0.000189481,0.0004348189,0.001479629,0.001880866,0.002000551,0.0005294348,0.0009042684,0.001963934],"category_scores_gemma":[0.01277811,0.0005413747,0.0002654691,0.001629648,0.0009643303,0.001760397,0.00129005,0.0008664878,0.0003189964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001305055,"about_ca_system_score_gemma":0.003631298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009880452,"about_ca_topic_score_gemma":0.01729753,"domain_scores_codex":[0.9974996,0.0009263187,0.0005346034,0.0001780624,0.0003969798,0.0004644613],"domain_scores_gemma":[0.9895103,0.004414755,0.002701365,0.0002452459,0.001403186,0.001725081],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004891174,0.0003291497,0.9780405,0.0001922441,0.00001948774,0.0005218307,0.01726009,0.00003204955,0.0003741386,0.0002061075,0.0001727463,0.002802666],"study_design_scores_gemma":[0.000008729687,0.0003927045,0.8135301,0.0004669177,0.00003578554,0.001084388,0.1820079,0.0001984007,0.0001593223,0.0001821954,0.001911635,0.00002187849],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982978,0.0003473431,0.00003033011,0.0003877526,0.000005734487,0.00003303474,0.00008557911,6.454898e-7,0.0008119202],"genre_scores_gemma":[0.9988531,0.0004923132,0.0001256439,0.0001455814,0.00000444472,0.00004149829,0.00007049745,8.467846e-7,0.0002661541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9946024,"threshold_uncertainty_score":0.02854574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3952086471252468,"score_gpt":0.6437161098308709,"score_spread":0.2485074627056241,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}